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Volume 31, Number 2—February 2025
Research

Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020–2022

Damian Honeyman, Deepti Gurdasani, Adriana Notaras, Zubair Akhtar, Jared Edgeworth, Aye Moa, Abrar Ahmad Chughtai, Ashley Quigley, Samsung Lim, and Chandini Raina MacIntyreComments to Author 
Author affiliation: The University of New South Wales, Sydney, New South Wales, Australia (D. Honeyman, D. Gurdasani, A. Notaras, Z. Akhtar, J. Edgeworth, A. Moa, A.A. Chughtai, A. Quigley, S. Lim, C.R. MacIntyre); University of Western Australia, Perth, Western Australia, Australia (D. Gurdasani); Queen Mary University of London, London, UK (D. Gurdasani); Arizona State University, Tempe, Arizona, USA (C.R. MacIntyre)

Main Article

Figure 6

Geographic distribution of top 8 countries reporting unknown illnesses in animals, identified in study of global epidemiology of outbreaks of unknown cause identified by open-source intelligence, 2020–2022.

Figure 6. Geographic distribution of top 8 countries reporting unknown illnesses in animals, identified in study of global epidemiology of outbreaks of unknown cause identified by open-source intelligence, 2020–2022.

Main Article

Page created: January 15, 2025
Page updated: January 31, 2025
Page reviewed: January 31, 2025
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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